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Ai Engineer Contract Jobs in Michigan (NOW HIRING)

Mercor

Industrial Engineer - AI Trainer

Detroit, MI · Remote

$70 - $110/hr

Contract Compensation: $70-$110/hour Location: Remote Duration: 4-6 weeks Commitment: 20+ hours ... Compare AI-generated responses based on engineering rigor, process efficiency, and quality-control ...

Mercor

Mechanical Engineer - AI Trainer

Detroit, MI · Remote

$70 - $110/hr

Contract Compensation: $70-$110/hour Location: Remote Duration: 4-6 weeks Commitment: 20+ hours ... Compare AI-generated responses based on engineering rigor, design soundness, and specification ...

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI · On-site

$121K - $151K/yr

Deep understanding of data engineering fundamentals, including data modeling, data contracts ... Experience integrating AI capabilities with enterprise data platforms and distributed systems.

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI · On-site

$121K - $151K/yr

Deep understanding of data engineering fundamentals, including data modeling, data contracts ... Experience integrating AI capabilities with enterprise data platforms and distributed systems.

Apex Systems

Sr AI Platform Engineer

Dearborn, MI · On-site

$51 - $65.50/hr

Hybrid Duration: Long-Term Contract Rate: Negotiable based on experience Description: The Senior AI Platform Engineer is responsible for designing, developing, and deploying intelligent AI-powered ...

V2X

Senior .NET Developer (Contract)

Troy, MI · On-site

$51.75 - $68.25/hr

Detroit Metro Area (Local candidates only) Contract Duration: 6 months (with potential extension ... The candidate will also help design and integrate AI-driven functionality into our platform to ...

Acron Aviation

Principal, Contracts Manager

Grand Rapids, MI · On-site

$85K - $114K/yr

Acron Aviation designs, engineers, and manufactures certified avionics systems that support safety ... Ability to use approved AI-enabled tools responsibly to support contract review, drafting, research ...

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All JobsAi Engineer Contract JobsAi Engineer Contract Jobs in Michigan

Ai Engineer Contract information

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

What are the key skills and qualifications needed to thrive as an AI engineer contract, and why are they important?

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

What is the difference between Ai Engineer Contract vs Data Scientist Contract?

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are the most commonly searched types of Ai Engineer jobs in Michigan?

The most popular types of Ai Engineer jobs in Michigan are:

What are popular job titles related to Ai Engineer Contract jobs in Michigan?

For Ai Engineer Contract jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Contract jobs in Michigan look for?

The top searched job categories for Ai Engineer Contract jobs in Michigan are:

What cities in Michigan are hiring for Ai Engineer Contract jobs?

Cities in Michigan with the most Ai Engineer Contract job openings:

Ai Engineer Contract jobs near you
Infographic showing various Ai Engineer Contract job openings in Michigan as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 5% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior AI Platform Engineer

Strategic Staffing Solutions

Detroit, MI • On-site

$103K - $142K/yr

Full-time

Posted 9 days ago

Key responsibilities

  • Partner with data scientists, analytics professionals, and business stakeholders to productionize AI, ML, and Generative AI solutions.

  • Develop production-quality Python applications, APIs, services, and integration components, and design integrations between AI solutions and enterprise systems.

  • Build and maintain data ingestion, ETL/ELT pipelines, and support deployment of AI and analytics applications within Microsoft Azure.

Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. Senior AI Platform Engineer Detroit, MI (Hybrid/Onsite Tues-Thurs) W2 contract role 12 Months then eligible for Contract renewal Role Overview We are seeking a Senior AI Platform Engineer to join our Advanced Analytics team and help transform analytical, machine learning, and Generative AI solutions into secure, scalable, production-ready applications. Key Responsibilities Partner with Data Scientists, Analytics professionals, and business stakeholders to productionize AI, ML, and Generative AI solutions.

Translate analytical and AI prototypes into scalable, maintainable software applications. Develop production-quality Python applications, APIs, services, and integration components. Design integrations between AI solutions and enterprise applications, data sources, APIs, and downstream systems.

Establish reusable engineering patterns for AI and analytics solutions. Build and maintain data ingestion and integration pipelines supporting analytics and AI applications. Develop and maintain ETL/ELT processes to acquire, transform, validate, and prepare data for analytical and AI use cases.

Integrate data from APIs, databases, files, enterprise applications, and other source systems. Design reliable, maintainable data workflows appropriate for application and analytical requirements. Design, deploy, and support AI and analytics applications within Microsoft Azure.

Work with Azure Functions, Azure App Service, Azure Container Apps, Azure Storage, Azure Key Vault, Azure AI services, Azure AI Foundry, Azure AI Search, Azure Monitor, and related Azure resources. Understand Azure identity, authentication, authorization, networking, security, and resource-management concepts. Work comfortably in Linux-based development and runtime environments.

Demonstrate practical Linux system administration knowledge, including processes, services, permissions, networking, package management, shell scripting, logs, and system troubleshooting. Troubleshoot application and environment issues across local Linux and cloud-hosted environments. Design and implement CI/CD pipelines using GitHub Actions to automate testing, building, and deployment.

Automate movement of applications from development through test and production environments. Apply MLOps practices across the lifecycle of machine learning and AI applications from development through production. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.

5+ years of experience in software, data, AI/ML, cloud, or platform engineering. Strong Python and SQL skills, with experience building production-grade applications and data solutions. Hands-on experience designing and building data ingestion, ETL/ELT pipelines, and scalable data engineering solutions to support analytics, AI/ML, and enterprise applications.

Hands-on experience with DevOps and MLOps, including CI/CD, GitHub Actions, deployment automation, monitoring, and operational support. Experience developing and integrating REST APIs and enterprise applications. Hands-on experience deploying applications and services on Microsoft Azure.

Experience with Docker, Podman, or similar container technologies. Strong Linux administration, troubleshooting, and command-line experience. *Beware of scams.

S3 never asks for money during its onboarding process

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